Analyics Englineer, Quality, Packaging & CSR

Carrefour Global Sourcing; Hong Kong; On-site; HKD 450,000 - 750,000; Full time

Job summary

Carrefour Global Sourcing (CGS), the Asian sourcing hub of a Fortune Global 500 retailer, seeks an Analytics Engineer to own data excellence across Quality, Packaging, CSR and Costing.

You will build robust data pipelines, establish the 'Single Source of Truth', and craft interactive 'Tower Control' dashboards that empower executive decisions.

This autonomous role requires strong stakeholder collaboration and a proven track record delivering measurable data impact.

Qualifications

• Bachelor's degree in Business Analytics or related field.
• Fluent English; Mandarin/Cantonese/French a plus.
• 5–7 years of analytics experience, including 3–4 in analytical operations.

Responsibilities

• Audit and inventory metrics to define the 'Single Source of Truth' within 90 days.
• Translate operational needs into formal requirements across CGS departments (Quality, Packaging, CSR, Costing).
• Collaborate on automated data pipelines to reduce manual extraction time by 50% within 9 months.
• Implement automated data quality controls to reach 98% data accuracy within 1 year.
• Analyze datasets to identify trends and deliver quarterly data-driven optimization recommendations.
• Design and deploy interactive 'Tower Control' dashboards for real-time decisions within 6 months.
• Present data-driven recommendations to GS teams monthly.

Skills

Tableau

Looker Studio

Excel

Power Query/Macros

Google Sheets

AppScript

SQL (BigQuery)

Gemini

Agent Platforms

Education

Bachelor's degree in relevant field

Tools

Tableau

Looker Studio

SQL

BigQuery

Job description

Join Carrefour Global Sourcing (CGS), the Asian sourcing hub of a Fortune Global 500 retailer. We are seeking an autonomous, self-driven Analytics Engineer to own data excellence across our Quality, Packaging, CSR, and Costing functions.

In this role, you will bridge operational realities with executive strategy by engineering robust data pipelines, establishing a "Single Source of Truth", and building interactive "Control Tower" dashboards that turn raw data into high-impact business decisions.

Key Responsibilities

• Data Discovery (Inventory & Profiling): Audit, map, and document a comprehensive inventory of 100% of existing department metrics, KPIs, and data sources to formally define our "Single Source of Truth" within the first 90 days of onboarding.
• Data Requirements (Specs & Translation): Partner and translate operational needs into formal business requirements across our 4 key CGS departments (Quality, Packaging, CSR and Costing), ensuring perfect alignment between executive reporting and business strategy by Early Q4.
• Data Collection (Pipeline Collaboration): Collaborate and implement automated data pipelines alongside the Digital Team, acting as the key business liaison to reduce manual data extraction time by 50% across our 8 data extraction workflows within 9 months.
• Data Quality & Governance: Implement and enforce automated quality controls and a strict "clean at the source" policy, delivering training to 100% of selected relevant operational teams and service providers to achieve a 98% data accuracy rate within 1 Year.
• Data Analysis & Exploration: Analyze and optimize complex datasets (Quality, Packaging, CSR, and Costing) to identify trends, delivering at least 4 actionable, data-driven process optimization recommendations quarterly that demonstrably mitigate operational risks.
• Data Visualization (Tower Control): Design, build, and deploy interactive Quality "Tower Control" dashboards using an Agile approach, achieving a minimum of 4 out of 5 user satisfaction rate among target stakeholders for real-time decision-making within the first 6 months.
• Strategic Communication: Present and track data-driven recommendations to GS teams on a monthly basis, acting as the bridge between raw data and operational execution to ensure 100% of operational and executive KPIs are accurately communicated and actionable.

*This description highlights core duties; additional tasks may be assigned based on evolving department and business needs.

Qualifications

We are seeking an independent, highly autonomous practitioner who can manage complex cross-functional relationships and operate seamlessly across our global supply chain network.

• Education & Languages: Bachelor’s degree in Business Analytics, Supply Chain, Business Administration, Data Science, or equivalent. Proficient written and spoken English is required; Mandarin, Cantonese, or French is a plus.
• Experience & Autonomy: Ideally 5-7 years of experience (minimum 3-4) in an analytical operational role. Proven track record of managing full-stack analytics, executing data integrations that deliver quantifiable business value (e.g., efficiency gains), and operating with high self-direction.
• Stakeholder Management & Storytelling: Strong interpersonal skills to build rapport, influence decision-making at all levels, and translate complex metrics into clear executive insights. Speaks the language of operations first, using data as a tool to solve business problems.
• Technical Toolkit:
• Advanced visualization and spreadsheet skills (Tableau, DataStudio/Looker Studio, Excel, Power Query/Macros, Google Sheets, AppScript).
• Working knowledge of SQL (BigQuery) and modern AI tools (e.g., Gemini, Agent Platforms).